项目名称: |
Railway Right of Way Monitoring and Early Warning System (RailMEWS) Based on Satellite and Aerial Imagery |
摘要: |
Description: In this Phase-I, one-year project we propose to conduct feasibility studies and provide recommendations for the development of a Railway Right of Way Monitoring and Early Warning System (RailMEWS). The feasibility study will answer the following questions:
1. How can we use drones and satellites to monitor the railway infrastructure?
2. What infrastructure components can be monitored effectively and what are the potential limitations of a RailMEWS in each case?
3. What railway Infrastructure Monitoring Systems (IMS) are available today for integration with satellite and drone data?
4. What are the desired functions and design parameters of an Early Warning System? (e.g. connectivity to the signaling system, real-time vs. centralized processing, etc)
5. What is the incremental investment needed to develop the RailMEWS system?
Intellectual Merit: We propose to process information obtained from commercially available satellite and aerial imagery and combine with information obtained by conventional monitoring systems to develop maps that show the kinematic behavior of the railway infrastructure at the terrain, sub-structure and track scales.
Broader Impacts: The proposed work will set the foundations for the development and implementation of a RailMEWS to the railway network, its expansion to other transportation modes and its implementation to the transportation network statewide and beyond. This research will set the framework for larger research projects with diverse research partners and will be ex-tended in future studies to monitor the roadway network, ports, and inland ports simultaneously and will be integrated with their respective signaling systems. |
状态: |
Active |
资金: |
75045 |
资助组织: |
University of South Carolina, Columbia |
管理组织: |
University of South Carolina, Columbia |
项目负责人: |
Rizos, Dimitris |
执行机构: |
University of South Carolina, Columbia |
主要研究人员: |
Mullen, Robert L |
开始时间: |
20171001 |
预计完成日期: |
20190430 |
实际结束时间: |
0 |